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DBMS > Apache Phoenix vs. Drizzle vs. Newts vs. Quasardb vs. Splunk

System Properties Comparison Apache Phoenix vs. Drizzle vs. Newts vs. Quasardb vs. Splunk

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDrizzle  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparisonSplunk  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Time Series DBMS based on CassandraDistributed, high-performance timeseries databaseAnalytics Platform for Big Data
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websitephoenix.apache.orgopennms.github.io/­newtsquasar.aiwww.splunk.com
Technical documentationphoenix.apache.orggithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­masterdocs.splunk.com/­Documentation/­Splunk
DeveloperApache Software FoundationDrizzle project, originally started by Brian AkerOpenNMS GroupquasardbSplunk Inc.
Initial release20142008201420092003
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20197.2.4, September 20123.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC++
Server operating systemsLinux
Unix
Windows
FreeBSD
Linux
OS X
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononoyes
Secondary indexesyesyesnoyes infowith tagsyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsnoSQL-like query languageno infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBCJDBCHTTP REST
Java API
HTTP APIHTTP REST
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C++
Java
PHP
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnononoyes
Triggersnono infohooks for callbacks inside the server can be used.nonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on CassandraSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
selectable replication factor infobased on CassandraSource-replica replication with selectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyPluggable authentication mechanisms infoe.g. LDAP, HTTPnoCryptographically strong user authentication and audit trailAccess rights for users and roles

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More resources
Apache PhoenixDrizzleNewtsQuasardbSplunk
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